The different baselines use different feature models, so that the Variational Autoencoder, or VAE model, trains an autoencoder, as in [1]}, concurrently with the dynamics model; the Random Features, or RF model, uses a randomly initialized network; the Inverse Dynamics Features, or IDF model, uses features that allow to model the inverse dynamics of the environment.
